Results 31 to 40 of about 66,174 (304)
Does action disrupt Multiple Object Tracking (MOT)? [PDF]
Psihologija, 2015 While the relationship between action and focused attention has been well-studied, less is known about the ability to divide attention while acting.
Thornton Ian M., Horowitz Todd S.
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Multiple-Camera Tracking of Rigid Objects [PDF]
The International Journal of Robotics Research, 2002 In this paper we describe a method for tracking rigid objects using one or several cameras. The tracking process consists of aligning a 3-D model representation of an object with image contours by measuring and minimizing the image error between predicted model points and image contours.
Martin, Frederick, Horaud, Radu
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The Complexity of Object Association in Multiple Object Tracking
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Object association, i.e., the identification of which observations correspond to the same object, is a central task for the area of multiple object tracking. Two prominent models capturing this task have been introduced in the literature: the Lifted Multicut model and the more recent Lifted Paths model.
Ganian, R, Hamm, T, Ordyniak, S
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MULTIPLE VEHICLES AND PEOPLE TRACKING IN AERIAL IMAGERY USING STACK OF MICRO SINGLE-OBJECT-TRACKING CNNS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Geo-referenced real-time vehicle and person tracking in aerial imagery has a variety of applications such as traffic and large-scale event monitoring, disaster management, and also for input into predictive traffic and crowd models.
R. Bahmanyar, S. M. Azimi, P. Reinartz
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Toward Real-Time UAV Multi-Target Tracking Using Joint Detection and Tracking
IEEE Access, 2023 Multiple object tracking (MOT) of unmanned aerial vehicle (UAV) systems is essential for both defense and civilian applications. As drone technology moves towards real-time, conventional tracking algorithms cannot be directly applied to UAV videos due to
Tinnakorn Keawboontan +1 more
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Development of a multi-object tracking algorithm with untrained features of object matching
Компьютерная оптика, 2023 The problem of multiple object tracking is one of the most difficult tasks in computer vision. The article is devoted to a task of multiple object tracking on video footage received from an unmanned aerial vehicle.
V.A. Gorbachev, V.F. Kalugin
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Semantic‐guided fusion for multiple object tracking and RGB‐T tracking
IET Image Processing, 2023 The attention mechanism has produced impressive results in object tracking, but for a good trade‐off between performance and efficiency, CNN‐based approaches still dominate, owing to quadratic complexity of attention. Here, the SGF module is proposed, an
Xiaohu Liu +3 more
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International Journal of Computational Intelligence Systems, 2016 In the area of video surveillance, tracking model for multiple object video is still a challenging task since the objects are usually affected with inter-object occlusion, object confusion, different posing, environment with heavy clutter, small size of ...
Felix M. Philip, Rajeswari Mukesh
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Decentralized Multiple Camera Multiple Object Tracking [PDF]
2006 IEEE International Conference on Multimedia and Expo, 2006 In this paper, we present a novel decentralized Bayesian frame-work using multiple collaborative cameras for robust and efficient multiple object tracking with significant and persistent occlusion. This approach avoids the common practice of using a complex joint state representation and a centralized processor for multiple camera tracking.
Wei Qu, Dan Schonfeld, Magdi A. Mohamed
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Enhanced Multiple-Object Tracking Using Delay Processing and Binary-Channel Verification
Applied Sciences, 2019 Tracking objects over time, i.e., identity (ID) consistency, is important when dealing with multiple object tracking (MOT). Especially in complex scenes with occlusion and interaction of objects this is challenging.
Muyu Li +5 more
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